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Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease
Mortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge, and care for...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727624/ https://www.ncbi.nlm.nih.gov/pubmed/29317867 http://dx.doi.org/10.1155/2017/8067094 |
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author | Santos, Josefina Fonseca, Isabel |
author_facet | Santos, Josefina Fonseca, Isabel |
author_sort | Santos, Josefina |
collection | PubMed |
description | Mortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge, and care for those patients expected to progress to end-stage renal disease should focus on evaluating the overall benefit of offering renal replacement therapy to them. Predictive mortality models may help to inform shared decision-making in the trajectory of the elderly with chronic kidney disease. This review discusses current literature on the available predictive models for predicting survival in elderly chronic kidney disease patients and reflects the author's own interpretation and experience. |
format | Online Article Text |
id | pubmed-5727624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-57276242018-01-09 Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease Santos, Josefina Fonseca, Isabel Curr Gerontol Geriatr Res Review Article Mortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge, and care for those patients expected to progress to end-stage renal disease should focus on evaluating the overall benefit of offering renal replacement therapy to them. Predictive mortality models may help to inform shared decision-making in the trajectory of the elderly with chronic kidney disease. This review discusses current literature on the available predictive models for predicting survival in elderly chronic kidney disease patients and reflects the author's own interpretation and experience. Hindawi 2017 2017-11-28 /pmc/articles/PMC5727624/ /pubmed/29317867 http://dx.doi.org/10.1155/2017/8067094 Text en Copyright © 2017 Josefina Santos and Isabel Fonseca. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Santos, Josefina Fonseca, Isabel Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease |
title | Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease |
title_full | Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease |
title_fullStr | Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease |
title_full_unstemmed | Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease |
title_short | Incorporating Scoring Risk Models for Care Planning of the Elderly with Chronic Kidney Disease |
title_sort | incorporating scoring risk models for care planning of the elderly with chronic kidney disease |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727624/ https://www.ncbi.nlm.nih.gov/pubmed/29317867 http://dx.doi.org/10.1155/2017/8067094 |
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